Handoffs in patient care responsibilities between practitioners are common in the hospital setting. Because inadequate communication can lead to patient harm, professional organizations have published recommendations and practical guides to support standardized workflow. However, currently available electronic medical record (EMR) tools rarely provide the requisite functionality to support work and often suffer from major usability flaws. Our internal medicine residency program sponsored a quality improvement initiative to improve the design of handoff tools. To support this initiative, our medical informatics program collaborated with a school of architecture and design to identify requirements and ideate interface prototypes. In this article, we describe how we used Design Thinking principles and methods to inform our product design lifecycle, create novel designs, and teach inter-professional students health systems science concepts.Accessibility, multilingualism and real-time knowledge transfer are the tenets of the OpenWHO learning platform. https://www.selleckchem.com/products/alc-0159.html A descriptive analysis was conducted using anonymised statistical datasets retrieved from the OpenWHO reporting system to understand global use trends. When examining OpenWHO use in the areas with the highest burden of COVID-19 cases, a strong correlation was identified between the burden of COVID-19 and OpenWHO user activity. Further, health professionals are the top users of COVID-19 materials. The massive demand for OpenWHO courses confirms the need for real-time learning materials in accessible, multilingual formats during a pandemic. Learning is a global public good and is an essential component of the response to health emergencies.The main objective of POWER2DM is to develop and validate a personalized self-management support system (SMSS) for T1 and T2 diabetes patients that combines and integrates i) a decision support system (DSS) based on leading European predictive personalized models for diabetes interlinked with predictive computer models, ii) automated e-coaching functionalities based on Behavioral Change Theories, and iii) real-time Personal Data processing and interpretation. The SMSS offers a guided workflow based on treatment goals and activities where a periodic review evaluates the patients progress and provides detailed feedback on how to improve towards a healthier, diabetes appropriate lifestyle.The pandemic suffered in 2020 following the appearance of the SARS-CoV-2 virus has marked a radical change in the way in which the basic pillars of international, and more specifically Spanish, society are understood. The existing social and economic model has had to adapt abruptly and urgently to the reality of what has happened. The impact that these changes will have after the pandemic is still unclear, but it may be surmised that many of them are here to stay. The use of information and communication technologies has been critical in the pandemic scenario and also in the health environment, where factors like telemedicine have come to play a key role for society. This work presents an initial analysis of how degrees in Medicine train students for telematic work with patients and provides a series of reflections based on the pandemic which may serve as a point of departure for future studies.The interaction of multiple computer systems during multi-center randomized controlled trials (RCTs) is a hurdle for IT-specialists as well as medical staff. A common workflow for the initial registration of a patient requires the generation of a pseudonym by a pseudonymization service, a manual transmission of the pseudonym to a randomization service, and a manual transfer of the pseudonym and assigned study arm into an electronic data capture (EDC) system. This interaction is often time consuming and error prone due to multiple system changes. Objective of this work is to enhance a commonly used EDC system, Research Electronic Data Capture (REDCap), as a single source of interaction for multi-center RCTs. This is achieved by providing two modules for a seamless integration of a pseudonymization service, i.e., Mainzelliste, and a randomization service, i.e., RandIMI. Thus, no site-specific system changes are required, which increases time efficiency and reduces errors. From a technical perspective, only authentication credentials and firewall exposure for a single system must be managed. To evaluate the usability of our implementation, the system usability scale was employed. The increase of time efficiency was measured in laboratory conditions by a comparison of the time for patient registrations with and without our modules. An "excellent" usability was shown and an average time reduction by nearly 64 %. Both open-source modules are available from the REDCap Repository of External Modules.People are increasingly able to access their laboratory (lab) results using patient-facing portals. However, lab reports for citizens are often identical to those for clinicians; without specialized training they can be near impossible to interpret. In this study, we inspected a mobile health application (app) that converts traditional lab results into a citizen-centred format. We used the Health Literacy Online (HLO) checklist to inspect the app. Our inspection revealed that most of the app's strengths were related to its Organization of Content and Simple Navigation and most of its weaknesses were related to Engage Users. We also identified several usability and user experience (UX) issues that were beyond the purview of the HLO checklist. Although this app represents an important step towards making lab results universally accessible, we identified several opportunities for improvements that could increase its value to citizens.Due to the corona (COVID-19) pandemic, several countries are currently conducting non-face-to-face education. Therefore, teachers of nursing colleges have been carrying out emergency remote education. This study developed a questionnaire to understand the status of Emergency Remote Learning (ERL) in nursing education internationally, translated it into 7 languages, and distributed it to 18 countries. A total of 328 nursing educators responded, and the most often used online methods were Social networking technology such as Facebook, Google+ and Video sharing platform such as YouTube. The ERL applied to nursing education was positively evaluated as 3.59 out of 5. The results of the study show that during the two semesters nursing college professors have well adapted to this unprecedent crisis of teaching. The world after COVID-19 has become a completely different place, and nursing education should be prepared for 'untact' education.